… This paper presented the RSSI extraction algorithm for Wi-Fi indoor localization. The
algorithm is based on the analysis of the characteristics of RSSI and the selection of a number of …

… The main goals of this paper are to enhance the accuracy of the WiFi indoor localization
systems based on machine learning approach and to reduce the required computational cost …

… WiFi fingerprinting. However, due to the inherent noise and instability of the wireless signals,
the localization … We present WiDeep, a deep learning-based indoor localization system that …

… , we propose a Wi-Fi-based time-reversal indoor positioning system (WiFi-TRIPS) using
the location-specific fingerprints generated by CSIs with a total bandwidth of 1 GHz. WiFi-TRIPS …

… CiFi, a DCNN based system for indoor localization with 5GHz Wi-Fi. We first analytically
and experimentally verified the feasibility of using AOA values for indoor localization. We then …

… Abstract—Indoor positioning systems have received increasing attention for supporting
location-based services in indoor environments. WiFi-based indoor localization has been …

… indoor localization due to several advantages. It doesn’t require any line of sight and can
locates the position of almost every Wi-Fi … at one or more receiving terminals WiFi. This wave is …

… , we propose a new Wi-Fi indoor localization approach based on the integrated … localization
accuracy. Specifically, by considering the diversity of Wi-Fi signal distributions in the indoor …

… most related to ours, focusing on indoor localization techniques based on Wi-Fi signals.
We also discuss works that aim to reduce the effort of fingerprint collection for indoor localization. …

… indoor localization using RSSI-based Wi-Fi fingerprints and present corresponding potential
solutions. It can help readers direct their research toward solving such important localization …